This paper reviews recent developments of non-contact three-dimensional (3D) surface
metrology using an active structured optical probe. We focus primarily on those active non …

Seeing around corners, also known as non-line-of-sight (NLOS) imaging is a computational
method to resolve or recover objects hidden around corners. Recent advances in imaging …

In this paper, we propose a deep learning architecture that produces accurate dense depth
for the outdoor scene from a single color image and a sparse depth. Inspired by the indoor …

Time-of-flight (ToF) imaging has become a widespread technique for depth estimation,
allowing affordable off-the-shelf cameras to provide depth maps in real time. However …

Metrology, from the Greek Metro-logos, is the logic (-Logos) ruling the study of measurement
(Metro-), which has been active for more than two centuries. Research in metrology focuses …

Dense depth maps have been used as a key element of visual perception tasks. There have
been tremendous efforts to enhance the depth quality ranging from optimization-based to …

In this paper we present ActiveStereoNet, the first deep learning solution for active stereo
systems. Due to the lack of ground truth, our method is fully self-supervised, yet it produces …

A metrological characterization process for time-of-flight (TOF) cameras is proposed in this
paper and applied to the Microsoft Kinect V2. Based on the Guide to the Expression of …

We present an end-to-end image processing framework for time-of-flight (ToF) cameras.
Existing ToF image processing pipelines consist of a sequence of operations including …

Today, experiencing virtual reality (VR) is a cumbersome experience which either requires
dedicated infrastructure like infrared cameras to track the headset and hand-motion …